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Knowledge Science, Engineering and Management

14th International Conference, KSEM 2021, Tokyo, Japan, August 14–16, 2021, Proceedings, Part I

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Han Qiu

    1. Tsinghua University, Beijing, China

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  2. Cheng Zhang

    1. Ibaraki University, Hitachi, Japan

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  3. Zongming Fei

    1. University of Kentucky, Lexington, USA

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  4. Meikang Qiu

    1. Texas A&M University – Commerce, Commerce, USA

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  5. Sun-Yuan Kung

    1. Princeton University, Princeton, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12815)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: KSEM 2021.

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Table of contents (56 papers)

  1. Knowledge Science with Learning and AI (KSLA)

    1. SEGAR: Knowledge Graph Augmented Session-Based Recommendation

      • Xinyi Xu, Yan Tang, Zhuoming Xu
      Pages 229-241

    2. Symbiosis: A Novel Framework for Integrating Hierarchies from Knowledge Graph into Recommendation System

      • Haizhou Du, Yue Tang
      Pages 242-254

    3. An Ensemble Fuzziness-Based Online Sequential Learning Approach and Its Application

      • Wei-Peng Cao, Sheng-Dong Li, Cheng-Chao Huang, Yu-Hao Wu, Qiang Wang, Da-Chuan Li et al.
      Pages 255-267

    4. GASKT: A Graph-Based Attentive Knowledge-Search Model for Knowledge Tracing

      • Mengdan Wang, Chao Peng, Rui Yang, Chenchao Wang, Yao Chen, Xiaohua Yu
      Pages 268-279

    5. Fragile Neural Network Watermarking with Trigger Image Set

      • Renjie Zhu, Ping Wei, Sheng Li, Zhaoxia Yin, Xinpeng Zhang, Zhenxing Qian
      Pages 280-293

    6. Introducing Graph Neural Networks for Few-Shot Relation Prediction in Knowledge Graph Completion Task

      • Yashen Wang, Huanhuan Zhang
      Pages 294-306

    7. A Research Study on Running Machine Learning Algorithms on Big Data with Spark

      • Arpad Kerestely, Alexandra Baicoianu, Razvan Bocu
      Pages 307-318

    8. Attentional Neural Factorization Machines for Knowledge Tracing

      • Xiaowu Zhang, Li Li
      Pages 319-330

    9. Node-Image CAE: A Novel Embedding Method via Convolutional Auto-encoder and High-Order Proximities

      • Di Qiao, Wu Yang, Wei Wang
      Pages 331-345

    10. EN-DIVINE: An Enhanced Generative Adversarial Imitation Learning Framework for Knowledge Graph Reasoning

      • Yuejia Wu, Jiantao Zhou
      Pages 346-356

    11. Knowledge Distillation via Channel Correlation Structure

      • Bo Li, Bin Chen, Yunxiao Wang, Tao Dai, Maowei Hu, Yong Jiang et al.
      Pages 357-368

    12. Feature Interaction Convolutional Network for Knowledge Graph Embedding

      • Jiachuan Li, Aimin Li, Teng Liu
      Pages 369-380

    13. Towards a Modular Ontology for Cloud Consumer Review Mining

      • Emna Ben Abdallah, Khouloud Boukadi, Rima Grati
      Pages 381-394

    14. Identification of Critical Nodes in Urban Transportation Network Through Network Topology and Server Routes

      • Shihong Jiang, Zheng Luo, Ze Yin, Zhen Wang, Songxin Wang, Chao Gao
      Pages 395-407

    15. Graph Ensemble Networks for Semi-supervised Embedding Learning

      • Hui Tang, Xun Liang, Bo Wu, Zhenyu Guan, Yuhui Guo, Xiangping Zheng
      Pages 408-420

    16. Rethinking the Information Inside Documents for Sentiment Classification

      • Xinyu Jiang, Chongyang Shi, Shufeng Hao, Dequan Yang, Chaoqun Feng
      Pages 421-432

    17. Dependency Parsing Representation Learning for Open Information Extraction

      • Li Zekun, Ning Nianwen, Peng Chengcheng, Wu Bin
      Pages 433-444

    18. Hierarchical Policy Network with Multi-agent for Knowledge Graph Reasoning Based on Reinforcement Learning

      • Mingming Zheng, Yanquan Zhou, Qingyao Cui
      Pages 445-457

    19. Inducing Bilingual Word Representations for Non-isomorphic Spaces by an Unsupervised Way

      • Shaolin Zhu, Chenggang Mi, Linlin Zhang
      Pages 458-466

    20. A Deep Learning Model Based on Neural Bag-of-Words Attention for Sentiment Analysis

      • Jing Liao, Zhixiang Yi
      Pages 467-478
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Other volumes

  1. Knowledge Science, Engineering and Management

  2. Knowledge Science, Engineering and Management

  3. Knowledge Science, Engineering and Management

Keywords

About this book

This three-volume set constitutes the refereed proceedings of the 14th International Conference on Knowledge Science, Engineering and Management, KSEM 2021, held in Tokyo, Japan, in August 2021.

The 164 revised full papers were carefully reviewed and selected from 492 submissions. The contributions are organized in the following topical sections: knowledge science with learning and AI; knowledge engineering research and applications; knowledge management with optimization and security.

Editors and Affiliations

  • Tsinghua University, Beijing, China

    Han Qiu

  • Ibaraki University, Hitachi, Japan

    Cheng Zhang

  • University of Kentucky, Lexington, USA

    Zongming Fei

  • Texas A&M University – Commerce, Commerce, USA

    Meikang Qiu

  • Princeton University, Princeton, USA

    Sun-Yuan Kung

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